DeepWiFi: Cognitive WiFi with Deep Learning

10/29/2019
by   Kemal Davaslioglu, et al.
0

We present the DeepWiFi protocol, which hardens the baseline WiFi (IEEE 802.11ac) with deep learning and sustains high throughput by mitigating out-of-network interference. DeepWiFi is interoperable with baseline WiFi and builds upon the existing WiFi's PHY transceiver chain without changing the MAC frame format. Users run DeepWiFi for i) RF front end processing; ii) spectrum sensing and signal classification; iii) signal authentication; iv) channel selection and access; v) power control; vi) modulation and coding scheme (MCS) adaptation; and vii) routing. DeepWiFi mitigates the effects of probabilistic, sensing-based, and adaptive jammers. RF front end processing applies a deep learning-based autoencoder to extract spectrum-representative features. Then a deep neural network is trained to classify waveforms reliably as idle, WiFi, or jammer. Utilizing channel labels, users effectively access idle or jammed channels, while avoiding interference with legitimate WiFi transmissions (authenticated by machine learning-based RF fingerprinting) resulting in higher throughput. Users optimize their transmit power for low probability of intercept/detection and their MCS to maximize link rates used by backpressure algorithm for routing. Supported by embedded platform implementation, DeepWiFi provides major throughput gains compared to baseline WiFi and another jamming-resistant protocol, especially when channels are likely to be jammed and the signal-to-interference-plus-noise-ratio is low.

READ FULL TEXT
research
09/25/2019

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments

Dynamic spectrum access (DSA) benefits from detection and classification...
research
05/13/2021

Ergodic Capacity of High Throughput Satellite Systems With Mixed FSO-RF Transmission

We study a high throughput satellite system, where the feeder link uses ...
research
10/13/2019

Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification

We designed and implemented a deep learning based RF signal classifier o...
research
12/11/2019

Cross-layer Design and SDR Implementation of DSA, Backpressure Routing and Network Coding

A cross-layer cognitive radio system is designed to support unicast and ...
research
01/26/2019

Spectrum Data Poisoning with Adversarial Deep Learning

Machine learning has been widely applied in wireless communications. How...
research
01/24/2018

Optimal Spectrum Sharing with ARQ based Legacy Users via Chain Decoding

This paper investigates the design of access policies in spectrum sharin...
research
02/21/2023

User-aware WLAN Transmit Power Control in the Wild

In Wireless Local Area Networks (WLANs), Access point (AP) transmit powe...

Please sign up or login with your details

Forgot password? Click here to reset